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By the year 2055, vaccination of females starting at age 12 in 2008 was most efficient, estimated to prevent 5.8 million cumulative HPV16 infections.
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A new method is proposed for efficient estimating the extreme value distribution (EVD) and small failure probabilities of structures subjected to non-stationary stochastic seismic excitations.
In particular, we will develop the efficient estimating algorithm for (e_{m+1}), which fits the coefficients up to 7th order term in the expansion of the global error (E_{m+1}=phi(t_{m+1} -phi_{m+1}) about_{m+1} -phi_{m+1}ze h.
Co-efficient: estimated co-efficient of the predictor variable; R2 = co-efficient of determination; d.f: degrees of freedom in model.
Co-efficient: estimated co-efficient of the predictor variable; R2 = co-efficient of determination; d.f: degrees of freedom in model; P value: significance of value of model; Significance: * = P < 0.05, ** = P < 0.005.
An advantage of this applied model is that it allows the estimation of consistent and efficient estimates for unbalanced data structures by using maximum likelihood estimation [ 30].
Random intercept models, which utilise maximum-likelihood estimation, provide more efficient estimates of effects with unbalanced data than the traditional repeated measures approach [ 81].
Our approach yields more efficient estimates compared to the maximum likelihood estimator, the least squares estimator and the weighted least squares estimator, which do not utilize the conditional moment restrictions.
In an evaluation of ten different sampling strategies, Temesgen et al. (2011) found that systematic sampling with ratio estimation as the most efficient estimate of individual tree foliage biomass.
FIML estimation yields consistent and efficient estimates when data are missing at random [ 28].
Correction of that issue in the present work ensured that, at any positive correlation level, all the estimators tested here gave more efficient estimates than those obtained using simple random sampling.
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